Useful statistical methods for human factors research in software engineering: A discussion on validation with quantitative data
Paper i proceeding, 2016

In this paper we describe the usefulness of statistical validation techniques for human factors survey research. We need to investigate a diversity of validity aspects when creating metrics in human factors research, and we argue that the statistical tests used in other fields to get support for reliability and construct validity in surveys, should also be applied to human factors research in software engineering more often. We also show briefly how such methods can be applied (Test-Retest, Cronbach's α, and Exploratory Factor Analysis).

Författare

Lucas Gren

Göteborgs universitet

Alfredo Goldman

Universidade de Sao Paulo (USP)

Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering

121-124

Ämneskategorier

Programvaruteknik

Sannolikhetsteori och statistik

DOI

10.1145/2897586.2897588

ISBN

978-1-4503-4155-4

Mer information

Skapat

2017-10-10